人工智能（AI）和區塊鏈的融合正在成為技術投資中最熱門的趨勢之一。

隨著像Alphabet，Microsoft和Amazon這樣的大型科技公司在AI領域佔據主導地位，加密行業正在推動分散的替代方案，以解決有關數據所有權和集中權力的關注。

The intersection of artificial intelligence (AI) and blockchain is quickly heating up as a tech investment trend.

人工智能（AI）和區塊鏈的交集很快就會作為技術投資趨勢加熱。

While Big Tech firms like Alphabet, Microsoft, and Amazon are making huge strides in AI, the crypto industry is working on decentralized versions of the technology that could offer alternatives to address concerns around data ownership and centralized power.

儘管像Alphabet，Microsoft和Amazon這樣的大型科技公司在AI中取得了長足的進步，但加密行業正在研究該技術的分散版本，這些版本可以提供替代方案來解決有關數據所有權和集中權力的關注。

This vision has already seen venture capitalists back decentralized AI projects with nearly $917 million in funding, according to startup data platform Tracxn.

根據Startup Data Platform Tracxn的數據，這種願景已經使風險投資家支持分散的人工智能項目。

Highlighting how crypto wallets and token networks can support autonomous AI agents, financial participation, and decentralized infrastructure, blockchain firm Theta Capital described this convergence as “the new meta.”

強調加密錢包和代幣網絡如何支持自治的AI代理，財務參與和分散基礎設施，區塊鏈公司Theta Capital將這種融合描述為“新的元META”。

Among the leading firms investing in this space is Hack VC, which has allocated 41% of its latest fund to Web3 AI startups, which its managing partner, Alex Pack, describes as “the biggest source of alpha in investing today.”

Hack VC是在該領域投資的領先公司中，該公司已將其最新基金的41％分配給了Web3 AI初創公司，其執行合夥人Alex Pack將其稱為“當今投資中Alpha的最大來源”。

One of its key investments is in Grass, which is building peer-to-peer AI networks by rewarding users for sharing unused internet bandwidth—offering an ethical alternative to the data-scraping practices of major tech companies.

它的主要投資之一是在草地上，它是通過獎勵用戶共享未使用的互聯網帶寬來構建點對點AI網絡的 - 為主要科技公司的數據搭配實踐提供了道德替代方案。

But there are also risks to consider. As several critics have pointed out, decentralized AI could also serve to automate some of the worst aspects of the internet—like spam, misinformation, and meme coin scams.

但是也有考慮的風險。正如幾個批評家指出的那樣，分散的AI也可以自動化互聯網上一些最糟糕的方面，例如垃圾郵件，錯誤信息和模因硬幣騙局。

However, blockchain-based solutions like proof-of-humanity and micropayment barriers are being developed to help mitigate these concerns.

但是，正在開發基於區塊鏈的解決方案，例如人類性證明和微付款障礙，以幫助減輕這些問題。

Ultimately, though, this convergence has the potential to reshape the digital landscape in unexpected ways.

不過，最終，這種融合有可能以意想不到的方式重塑數字景觀。

As Polychain Capital's Olaf Carlson-Wee put it, AI will eventually outperform humans in financial markets, not through conflict but consensus.

正如Polychain Capital的Olaf Carlson-Wee所說的那樣，AI最終將在金融市場上的表現，而不是通過衝突而是共識。

"The AI takeover won't be a war we lose—it will be a suggestion we agree to," he said.

他說：“ AI接管不會是我們失去的戰爭，這將是我們同意的建議。”

output: The convergence of cryptocurrency and artificial intelligence (AI) is heating up rapidly, presenting a new wave of investment opportunities and technological possibilities.

輸出：加密貨幣和人工智能（AI）的收斂迅速加熱，呈現出新的投資機會和技術可能性。

While behemoths like Alphabet, Microsoft, and Amazon are making great strides in AI, the crypto industry is forging decentralized versions of this technology that could offer unique alternatives.

儘管諸如Alphabet，Microsoft和Amazon之類的龐然大物在AI方面取得了長足的進步，但加密貨幣行業正在為該技術的分散版本偽造，可以提供獨特的替代方案。

Specifically, this new wave of AI models, which are often trained on large language models (LLMs) and operate in a decentralized manner, are aiming to provide an alternative to the existing models developed by major tech companies.

具體來說，這種新浪潮的AI模型通常經過大型語言模型（LLM）培訓並以分散的方式運作，旨在為主要科技公司開發的現有模型提供替代方案。

These models are frequently scraping data from online platforms to train their AIs, leading to concerns about privacy and data ownership.

這些模型經常從在線平台上刮擦數據以培訓其AIS，從而引起人們對隱私和數據所有權的擔憂。

To date, venture capitalists have already poured nearly $917 million into decentralized AI projects, according to startup data platform Tracxn.

據Startup Data Platform Tracxn稱，迄今為止，風險投資家已經向分散的AI項目投入了近9.17億美元。

Highlighting how crypto wallets and token networks can support autonomous AI agents, financial participation, and decentralized infrastructure, blockchain firm Theta Capital described this convergence as “the new meta.”

強調加密錢包和代幣網絡如何支持自治的AI代理，財務參與和分散基礎設施，區塊鏈公司Theta Capital將這種融合描述為“新的元META”。

Among the leading firms investing in this space is Hack VC, which has allocated 41% of its latest fund to Web3 AI startups, which its managing partner, Alex Pack, describes as “the biggest source of alpha in investing today.”

Hack VC是在該領域投資的領先公司中，該公司已將其最新基金的41％分配給了Web3 AI初創公司，其執行合夥人Alex Pack將其稱為“當今投資中Alpha的最大來源”。

The firm's portfolio includes startups like ChainGPT, which is building a decentralized network for AI tokens and protocols, and Unchained AI, which is developing a decentralized autonomous organization (DAO) to govern AI systems.

該公司的投資組合包括Chaingpt之類的初創公司，該公司正在為AI代幣和協議建立一個分散的網絡，以及Unchained AI，該網絡正在開發一個分散的自治組織（DAO）來管理AI系統。

Another interesting startup in Hack VC's portfolio is Grass, which is focused on building peer-to-peer AI networks by rewarding users for sharing unused internet bandwidth.

Hack VC投資組合中的另一個有趣的創業公司是Grass，它的重點是通過獎勵用戶共享未使用的互聯網帶寬來構建點對點AI網絡。

This model offers an ethical alternative to the data-scraping practices of major tech companies and could empower individuals to participate directly in the development and utilization of AI technology.

該模型為主要科技公司的數據剪貼實踐提供了一種道德替代方案，並可以使個人直接參與AI技術的開發和利用。

However, this emerging landscape of decentralized AI is not without its critics. Some fear that it could serve to amplify the negative aspects of the internet, such as spam, misinformation, and meme coin scams.

但是，這種分散的AI的新興景觀並非沒有批評者。有些人擔心它會有助於擴大互聯網的負面方面，例如垃圾郵件，錯誤信息和模因硬幣騙局。

Despite these concerns, blockchain-based solutions are being developed to mitigate them.

儘管有這些擔憂，但仍開發出基於區塊鏈的解決方案來減輕它們。

For instance, to prevent spamming activities, platforms would typically require users to perform a small action, such as a click or a token transfer, in order to post a message or comment.

例如，為了防止垃圾郵件活動，平台通常會要求用戶執行小動作，例如點擊或令牌傳輸，以發布消息或評論。

Moreover, to counter misinformation, blockchain technology can be used to trace the origin and history of information, rendering it more difficult to spread false or misleading content.

此外，為了解決錯誤信息，可以使用區塊鏈技術來追踪信息的起源和歷史，從而使其更難傳播虛假或誤導性內容。

Finally, to deter meme coin scams, platforms can introduce micropayment barriers, requiring users to pay a minimal amount to interact with specific content or applications.

最後，為了阻止Meme硬幣騙局，平台可以引入微型屏障，要求用戶支付最少的數量以與特定內容或應用程序進行交互。

This would serve as a deterrent against frivolous or malicious activity, encouraging more meaningful and engaged participation within the ecosystem.

這將成為對瑣碎或惡意活動的威懾，鼓勵在生態系統中更有意義和參與的參與。

Ultimately, this convergence of crypto and AI has the potential to shift control of the digital economy away from centralized entities and towards open, permissionless systems.

最終，加密和人工智能的這種融合有可能將控制數字經濟的控制從集中實體轉向無許可的系統。

The question isn't whether this will happen—but how fast.

問題不是會發生這種情況，而是多快。